Analyze psychological case studies and AI-generated content, develop culturally sensitive Cantonese-English scenarios, and evaluate accuracy, ethics, and alignment with psychological best practices. The role requires documenting findings, identifying cultural and linguistic issues, and collaborating with interdisciplinary teams to improve AI-generated psychology content. Applicants must hold a PhD in Psychology or a related discipline, possess native or near-native Cantonese and fluent English, and have clinical or academic psychology experience.
About Gramian
Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs.
About the Role
We are engaging PhD-level Psychology professionals with Cantonese and English fluency to contribute to an innovative AI training project. You will apply your expertise to analyze psychological content, develop culturally sensitive scenarios, and evaluate AI-generated outputs for accuracy, ethics, and alignment with psychological best practices. No prior AI experience is required — your professional psychology expertise is what matters most.
SENIORITY: PhD / Experienced Psychology Professional
LANGUAGE: Cantonese — native or near-native; English — fluent
Key Responsibilities
- Analyze psychological case studies, documentation, and scenarios, providing nuanced professional feedback.
- Develop culturally appropriate psychological scenarios and materials in Cantonese and English.
- Evaluate AI-generated psychological content for accuracy, ethical considerations, and adherence to professional best practices.
- Review how psychological concepts and assessments are represented across Cantonese and English.
- Collaborate with interdisciplinary teams to provide psychology-focused perspectives and recommendations.
- Document evaluation processes, findings, and reasoning clearly and systematically.
- Identify cultural, linguistic, or contextual issues that could affect the interpretation of psychological content.
- Help improve AI systems' ability to understand and generate high-quality psychology-related content.
Requirements
- PhD in Psychology or a closely related psychology discipline.
- Demonstrated experience in clinical and/or academic psychology.
- Native or near-native Cantonese proficiency.
- Strong English proficiency, including the ability to communicate complex psychological concepts accurately.
- Strong analytical, critical-thinking, and ethical decision-making skills.
- Experience developing, reviewing, or evaluating psychological case studies, assessments, or research materials.
- Excellent written and verbal communication skills.
- Ability to work independently in a remote environment.
Similar Jobs
Cloud • Security • Software • Cybersecurity • Automation
Build GitLab code security capabilities spanning dependency analysis, SBOM and lockfile parsing, vulnerability detection, AI-assisted analyzers, and automated dependency remediation. Design evaluation harnesses, package analyzers for CI and AI workflows, improve security report accuracy, and extend ecosystem coverage. Own initiatives from design through delivery, mentor engineers, collaborate across product and engineering teams, document systems, and participate in on-call support.
Top Skills:
AIAstsBundlerCargoCi/CdCweDockerGoLlmMavenNpmOwasp Top 10PipPythonRubyRustSbom
Cloud • Security • Software • Cybersecurity • Automation
Leads the architecture and delivery of GitLab’s static analysis engine and evaluation tooling. Owns program modeling, vulnerability detection quality, SAST rules, AI-assisted development guardrails, and benchmark validation. Sets technical direction, mentors engineers, coordinates complex initiatives, contributes to research and open source, and participates in on-call rotations. The role requires deep program analysis, application security, systems programming, performance optimization, containerized CI/CD, and experience building trustworthy LLM tooling.
Top Skills:
Ai AgentsAstsCall GraphsCi/CdControl-Flow GraphsCweData-Flow AnalysisDockerFuzzingGoIntermediate RepresentationsLlm ToolingMutation TestingOwasp Top 10RubyRustSastSsaStatic AnalysisTaint AnalysisType Inference
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Lead engineering for AI voice-agent experiences used by drivers. Define product and technical direction, build full-stack services, design agent coordination and memory systems, establish APIs and service boundaries, and evaluate AI behavior in production. Mentor engineers, document architectural tradeoffs, and introduce AI-assisted engineering practices using tools such as Codex, Claude Code, and Cursor.
Top Skills:
Ai AgentsClaude CodeCodexCursorGoLlmsPythonRag PipelinesTypescriptVector Databases
What you need to know about the Melbourne Tech Scene
Home to 650 biotech companies, 10 major research institutes and nine universities, Melbourne is among one of the top cities for biotech. In fact, some of the greatest medical advancements were conceptualized and developed here, including Symex Lab's "lab-on-a-chip" solution that monitors hormones to predict ovulation for conception, and Denteric's vaccine for periodontal gum disease. Yet, the thousands of people working in the city's healthtech sector are just getting started, to say nothing of the tech advancements across all other sectors.
